Update workflow
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@@ -1,5 +1,5 @@
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import { Assistant, CallLog, KnowledgeBase, Voice } from '../types';
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import { Assistant, CallLog, KnowledgeBase, Voice, Workflow } from '../types';
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export const mockAssistants: Assistant[] = [
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{
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@@ -28,6 +28,50 @@ export const mockAssistants: Assistant[] = [
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},
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];
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export let mockWorkflows: Workflow[] = [
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{
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id: 'wf1',
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name: 'Lead Qualification Agent',
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nodeCount: 11,
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createdAt: '2024-03-01 10:00',
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updatedAt: '2024-03-05 14:30',
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nodes: [
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{
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name: "introduction",
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type: "conversation",
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isStart: true,
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metadata: { position: { x: 100, y: 100 } },
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prompt: "You are Morgan from GrowthPartners. Start with: 'Hello, this is Morgan from GrowthPartners. We help businesses improve their operational efficiency through custom software solutions. Do you have a few minutes to chat about how we might be able to help your business?' Use a friendly, consultative tone.",
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messagePlan: { firstMessage: "Hello, this is Morgan from GrowthPartners. Do you have a few minutes to chat about how we might be able to help your business?" }
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},
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{
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name: "need_discovery",
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type: "conversation",
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metadata: { position: { x: 400, y: 150 } },
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prompt: "Conduct need discovery by asking about: 1) Their business and industry, 2) Current systems/processes they use, 3) Biggest challenges with current approach...",
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variableExtractionPlan: {
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output: [
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{ type: "string", title: "industry", description: "the user's industry or business type" },
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{ type: "string", title: "company_size", description: "approximate number of employees" }
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]
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}
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}
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],
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edges: [
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{ from: "introduction", to: "need_discovery" }
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]
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},
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{
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id: 'wf2',
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name: '售后退款流程',
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nodeCount: 5,
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createdAt: '2024-03-01 10:00',
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updatedAt: '2024-03-05 14:30',
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nodes: [],
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edges: []
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},
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];
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export const mockKnowledgeBases: KnowledgeBase[] = [
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{
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id: 'kb1',
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@@ -85,8 +129,6 @@ export const mockVoices: Voice[] = [
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{ id: 'v5', name: 'Doubao', vendor: 'Volcano', gender: 'Female', language: 'zh', description: 'Cute and young.' },
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];
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// --- Dashboard Mock Data Helpers ---
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export interface DashboardStats {
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totalCalls: number;
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answerRate: number;
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@@ -96,14 +138,11 @@ export interface DashboardStats {
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}
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export const getDashboardStats = (timeRange: 'week' | 'month' | 'year', assistantId: string): DashboardStats => {
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// Simulate data variation based on inputs
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const multiplier = assistantId === 'all' ? 1 : (assistantId === '1' ? 0.6 : 0.4);
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const rangeMultiplier = timeRange === 'week' ? 1 : (timeRange === 'month' ? 4 : 52);
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const baseCalls = Math.floor(100 * rangeMultiplier * multiplier);
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const transfers = Math.floor(baseCalls * 0.15); // 15% transfer rate
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const transfers = Math.floor(baseCalls * 0.15);
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// Generate Trend Data
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let points = 7;
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if (timeRange === 'month') points = 30;
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if (timeRange === 'year') points = 12;
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@@ -122,7 +161,7 @@ export const getDashboardStats = (timeRange: 'week' | 'month' | 'year', assistan
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return {
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totalCalls: baseCalls,
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answerRate: 85 + Math.floor(Math.random() * 10), // 85-95%
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answerRate: 85 + Math.floor(Math.random() * 10),
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avgDuration: `${Math.floor(2 + Math.random() * 3)}m ${Math.floor(Math.random() * 60)}s`,
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humanTransferCount: transfers,
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trend
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